Binary Logistic Regression
Binary Logistic Regression is a statistical modeling technique that belongs to the class of generalized linear models, distinguished by its use of the logistic function to model the probability of a binary outcome variable as a function of one or more predictor variables.
5.6K
Publications
222.3K
Citations
25.4K
Authors
5.3K
Institutions
Publications per year
2017–2026
3.6K
Variants
Binomial Logistic Regression
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University of Gondar
Gonder, Ethiopia
52 h-index
853 publications
33.4K citations
University of Cape Coast
Cape Coast, Ghana
32 h-index
237 publications
7.4K citations
University of Technology Sydney
Sydney, Australia
29 h-index
104 publications
3.2K citations

Bahir Dar University
Bahir Dar, Ethiopia
29 h-index
126 publications
4.9K citations

Addis Ababa University
Addis Ababa, Ethiopia
28 h-index
127 publications
4.1K citations

James Cook University
Townsville, Australia
27 h-index
66 publications
2.1K citations

Mekelle University
Mek'ele, Ethiopia
26 h-index
102 publications
4.9K citations

Karolinska Institutet
Stockholm, Sweden
25 h-index
81 publications
4K citations
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267 publications · 11.1K citations
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133 publications · 6.9K citations
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115 publications · 4.3K citations
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Repository · 128 publications · 3.9K citations
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